A large number of 3D cameras suffer from so-called holes in the
data, i.e. the measurement lattice is affected by invalid
measurements and the range image has undefined values.
Conventional image filters used for removing the holes perform not
well in presence of holes with large varying hole sizes. The novel
hole-filling method presented in this paper operates on
reliability attributed range images featuring unwanted holes with
wide varying sizes. The method operates according to a multi
resolution scheme where the image resolution is decreased at the
same time as the range reliability is successively increased until
sufficient confidence is reached. It builds on three main
components. First, the described process performs a weighted local
neighbourhood filter where the contribution of each pixel stands
for its reliability. Second, the filtering combines filters with
different kernel sizes and implements therefore the multi
resolution schema. Third, the processing requires a complete
travel from high resolution down to the resolution of satisfactory
confidence and back again to the highest resolution. The algorithm
for the described method was implemented in a efficient way and
was widely applied in the hole-filling of range images from a
depth from focus process where reliability is obtainable
non-linearly from the local sharpness measurement. The method is
valid in a very general way for all range imagers providing
reliability information. It seems therefore well suited to depth
cameras like time-of-flight, stereo and other similar rangers.
The depth from focus measurement principle relies on the detection of the optimal focusing distance for measuring the depth map of an object and finding its 3D shape. The principle is most effective at microscopic ranges where it is usually found implemented around a z-controlled microscope and sometimes named multifocus 3D microscopy. As
such, the method competes with many other 3D measurement methods showing both advantages and disadvantages. Multifocus 3D microscopy is presented and compared to chromatic aberation, confocal microscopy, white light interferometry. Then, this paper discusses two applications of multifocus 3D microscopy for measuring wood
respectively metallic parts in the sub-millimeter range. The first application aims at measuring the topography of wood samples for surface quality control. The wood samples surface topography is evaluated with data obtained from both confocal microscopy and multifocus 3D microscopy. The profiles and a standard roughness factor are compared. The second application concerns the measurement of burrs on metallic parts. Possibilities and limits of multifocus 3D
microscopy are presented and discussed.
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